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Modern vessels have comprehensive platform management capability that allow them to achieve unprecedented levels of operational effectiveness and contribute to crew reduction. The focus of this paper is to address a new knowledge discovery method based on data mining to support the task activities for integrated management of ship propulsion system. The requirements of management knowledge are analyzed...
Knowledge discovery has become of great importance owing to ever-increasing amounts of data collected by large organizations. This paper presents a knowledge discovery method called ant system, which is implemented by improving ant colony algorithm. Through specific application it has been proved that the algorithm is practical in knowledge discovery , and is a good method of knowledge discovery which...
This paper begins by defining error matrix to model system's interacting objects whose microscopic state includes not only spatio-temporal variables but also error functions. The error matrix model allows us to define six transformations that have been proposed by error-eliminating theory's preliminary researches. The main result of this paper is a set of error matrix equations such as T(u) = u1....
With todaypsilas highly competitive global manufacturing marketplace, the pressure for right-first-time manufacture has never been so high. New emerging data standards combined with machine data collection methods, such as in-process verification lead the way to a complete paradigm shift from the traditional manufacturing and inspection to intelligent networked process control. Low-level G and M codes...
Based on error logic, a new knowledge discovery method is presented in this paper. We uses error matrix that is built on error logic to represent knowledge. Error matrix is a useful method of modeling for scene. By means of solution of error matrix equation, we can get error logic transformation equation that can be used in reasoning about question. Combining the elements such as discussing domain,...
A novel knowledge discovery method to multiple classifier fusion is proposed. In the new method, all base classifiers are viewed as predictors relating to domain knowledge, and they may be allowed to operate in different feature spaces. Then the beliefs assigned to each base classifier are generated automatically from the established decision tables (DTs). For this purpose, two types of belief structures...
Recently, many hospital support systems such as electrical medical record have been computerized using information technology. In near future, all of medical data will be stored to database server, and complete paper-less and film-less system in hospitals will become reality. These stored data, however, is not used effectively for analysis because of the great deal of data and its variety - image,...
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